Measurement and Modeling of Polarized Atmosphere at the South Pole with SPT-3G
A. Coerver, J. A. Zebrowski, S. Takakura, W. L. Holzapfel, P. A. R., Ade, A. J. Anderson, Z. Ahmed, B. Ansarinejad, M. Archipley, L. Balkenhol, D., Barron, K. Benabed, A. N. Bender, B. A. Benson, F. Bianchini, L. E. Bleem, F., R. Bouchet, L. Bryant, E. Camphuis, J. E. Carlstrom

TL;DR
This study characterizes polarized atmospheric fluctuations at the South Pole using SPT-3G data, modeling their origin and impact on CMB polarization measurements, and proposing mitigation strategies for future observations.
Contribution
First detailed measurement and modeling of polarized atmospheric emission at the South Pole, including mitigation approaches for CMB polarization experiments.
Findings
Polarized atmospheric emission is consistent with Rayleigh scattering and ice crystal emission.
The spatial and frequency scaling of polarization matches a Kolmogorov turbulence model.
Mitigation strategies effectively reduce atmospheric polarization impact in SPT-3G data.
Abstract
We present the detection and characterization of fluctuations in linearly polarized emission from the atmosphere above the South Pole. These measurements make use of data from the SPT-3G receiver on the South Pole Telescope in three frequency bands centered at 95, 150, and 220 GHz. We use the cross-correlation between detectors to produce an unbiased estimate of the power in Stokes I, Q, and U parameters on large angular scales. Our results are consistent with the polarized signal being produced by the combination of Rayleigh scattering of thermal radiation from the ground and thermal emission from a population of horizontally aligned ice crystals with an anisotropic distribution described by Kolmogorov turbulence. The measured spatial scaling, frequency scaling, and elevation dependence of the polarized emission are explained by this model. Polarized atmospheric emission has the…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Cosmology and Gravitation Theories · Climate variability and models
